The Experts below are selected from a list of 5256 Experts worldwide ranked by ideXlab platform
Damian M Maestri - One of the best experts on this subject based on the ideXlab platform.
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supercritical co2 fractionation of rosemary ethanolic oleoresins as a method to improve carnosic acid recovery
Innovative Food Science and Emerging Technologies, 2011Co-Authors: Alexis Visentin, Martin Cismondi, Damian M MaestriAbstract:Abstract Supercritical fluid antisolvent fractionation was used to obtain antioxidant compounds, mainly carnosic acid (CA), from high viscous oleoresins derived from dried rosemary leaves ( Rosmarinus officinalis ) extracted with ethanol. Due to the high viscosity of the starting material, which may hinder the mass transfer between the phases, a special nozzle was designed to blend the SCCO 2 stream with the high viscous oleoresin. Experiments were conducted at 50 °C and six different pressures in the first Separation Vessel, ranging from 150 to 400 bar; the best Separation was achieved at 300 bar. As a result of the oleoresin two-stage fractionation, the starting material was separated in two fractions. The first one was an insoluble dark green powder, with low concentration of CA ( 2 , with a high concentration of CA (33 g/100 g extract at 300 bar). The antioxidant effect of this extract was higher to that of BHT when added to soybean oil. Industrial relevance The present study adds a possibility for the purification of carnosic acid from rosemary by using SCCO 2 antisolvent fractionation. Since the starting material employed (oleoresin) is a fluid phase, the process might be carried out in a continuous or semi-continuous way instead of discontinuous as it should be done if the starting material were a solid (leaves). This feature makes the procedure very promising toward its application at the industrial scale.
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supercritical co2 fractionation of rosemary ethanolic oleoresins as a method to improve carnosic acid recovery
Innovative Food Science and Emerging Technologies, 2011Co-Authors: Alexis Visentin, Martin Cismondi, Damian M MaestriAbstract:Abstract Supercritical fluid antisolvent fractionation was used to obtain antioxidant compounds, mainly carnosic acid (CA), from high viscous oleoresins derived from dried rosemary leaves ( Rosmarinus officinalis ) extracted with ethanol. Due to the high viscosity of the starting material, which may hinder the mass transfer between the phases, a special nozzle was designed to blend the SCCO 2 stream with the high viscous oleoresin. Experiments were conducted at 50 °C and six different pressures in the first Separation Vessel, ranging from 150 to 400 bar; the best Separation was achieved at 300 bar. As a result of the oleoresin two-stage fractionation, the starting material was separated in two fractions. The first one was an insoluble dark green powder, with low concentration of CA ( 2 , with a high concentration of CA (33 g/100 g extract at 300 bar). The antioxidant effect of this extract was higher to that of BHT when added to soybean oil. Industrial relevance The present study adds a possibility for the purification of carnosic acid from rosemary by using SCCO 2 antisolvent fractionation. Since the starting material employed (oleoresin) is a fluid phase, the process might be carried out in a continuous or semi-continuous way instead of discontinuous as it should be done if the starting material were a solid (leaves). This feature makes the procedure very promising toward its application at the industrial scale.
Alexis Visentin - One of the best experts on this subject based on the ideXlab platform.
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supercritical co2 fractionation of rosemary ethanolic oleoresins as a method to improve carnosic acid recovery
Innovative Food Science and Emerging Technologies, 2011Co-Authors: Alexis Visentin, Martin Cismondi, Damian M MaestriAbstract:Abstract Supercritical fluid antisolvent fractionation was used to obtain antioxidant compounds, mainly carnosic acid (CA), from high viscous oleoresins derived from dried rosemary leaves ( Rosmarinus officinalis ) extracted with ethanol. Due to the high viscosity of the starting material, which may hinder the mass transfer between the phases, a special nozzle was designed to blend the SCCO 2 stream with the high viscous oleoresin. Experiments were conducted at 50 °C and six different pressures in the first Separation Vessel, ranging from 150 to 400 bar; the best Separation was achieved at 300 bar. As a result of the oleoresin two-stage fractionation, the starting material was separated in two fractions. The first one was an insoluble dark green powder, with low concentration of CA ( 2 , with a high concentration of CA (33 g/100 g extract at 300 bar). The antioxidant effect of this extract was higher to that of BHT when added to soybean oil. Industrial relevance The present study adds a possibility for the purification of carnosic acid from rosemary by using SCCO 2 antisolvent fractionation. Since the starting material employed (oleoresin) is a fluid phase, the process might be carried out in a continuous or semi-continuous way instead of discontinuous as it should be done if the starting material were a solid (leaves). This feature makes the procedure very promising toward its application at the industrial scale.
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supercritical co2 fractionation of rosemary ethanolic oleoresins as a method to improve carnosic acid recovery
Innovative Food Science and Emerging Technologies, 2011Co-Authors: Alexis Visentin, Martin Cismondi, Damian M MaestriAbstract:Abstract Supercritical fluid antisolvent fractionation was used to obtain antioxidant compounds, mainly carnosic acid (CA), from high viscous oleoresins derived from dried rosemary leaves ( Rosmarinus officinalis ) extracted with ethanol. Due to the high viscosity of the starting material, which may hinder the mass transfer between the phases, a special nozzle was designed to blend the SCCO 2 stream with the high viscous oleoresin. Experiments were conducted at 50 °C and six different pressures in the first Separation Vessel, ranging from 150 to 400 bar; the best Separation was achieved at 300 bar. As a result of the oleoresin two-stage fractionation, the starting material was separated in two fractions. The first one was an insoluble dark green powder, with low concentration of CA ( 2 , with a high concentration of CA (33 g/100 g extract at 300 bar). The antioxidant effect of this extract was higher to that of BHT when added to soybean oil. Industrial relevance The present study adds a possibility for the purification of carnosic acid from rosemary by using SCCO 2 antisolvent fractionation. Since the starting material employed (oleoresin) is a fluid phase, the process might be carried out in a continuous or semi-continuous way instead of discontinuous as it should be done if the starting material were a solid (leaves). This feature makes the procedure very promising toward its application at the industrial scale.
Martin Cismondi - One of the best experts on this subject based on the ideXlab platform.
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supercritical co2 fractionation of rosemary ethanolic oleoresins as a method to improve carnosic acid recovery
Innovative Food Science and Emerging Technologies, 2011Co-Authors: Alexis Visentin, Martin Cismondi, Damian M MaestriAbstract:Abstract Supercritical fluid antisolvent fractionation was used to obtain antioxidant compounds, mainly carnosic acid (CA), from high viscous oleoresins derived from dried rosemary leaves ( Rosmarinus officinalis ) extracted with ethanol. Due to the high viscosity of the starting material, which may hinder the mass transfer between the phases, a special nozzle was designed to blend the SCCO 2 stream with the high viscous oleoresin. Experiments were conducted at 50 °C and six different pressures in the first Separation Vessel, ranging from 150 to 400 bar; the best Separation was achieved at 300 bar. As a result of the oleoresin two-stage fractionation, the starting material was separated in two fractions. The first one was an insoluble dark green powder, with low concentration of CA ( 2 , with a high concentration of CA (33 g/100 g extract at 300 bar). The antioxidant effect of this extract was higher to that of BHT when added to soybean oil. Industrial relevance The present study adds a possibility for the purification of carnosic acid from rosemary by using SCCO 2 antisolvent fractionation. Since the starting material employed (oleoresin) is a fluid phase, the process might be carried out in a continuous or semi-continuous way instead of discontinuous as it should be done if the starting material were a solid (leaves). This feature makes the procedure very promising toward its application at the industrial scale.
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supercritical co2 fractionation of rosemary ethanolic oleoresins as a method to improve carnosic acid recovery
Innovative Food Science and Emerging Technologies, 2011Co-Authors: Alexis Visentin, Martin Cismondi, Damian M MaestriAbstract:Abstract Supercritical fluid antisolvent fractionation was used to obtain antioxidant compounds, mainly carnosic acid (CA), from high viscous oleoresins derived from dried rosemary leaves ( Rosmarinus officinalis ) extracted with ethanol. Due to the high viscosity of the starting material, which may hinder the mass transfer between the phases, a special nozzle was designed to blend the SCCO 2 stream with the high viscous oleoresin. Experiments were conducted at 50 °C and six different pressures in the first Separation Vessel, ranging from 150 to 400 bar; the best Separation was achieved at 300 bar. As a result of the oleoresin two-stage fractionation, the starting material was separated in two fractions. The first one was an insoluble dark green powder, with low concentration of CA ( 2 , with a high concentration of CA (33 g/100 g extract at 300 bar). The antioxidant effect of this extract was higher to that of BHT when added to soybean oil. Industrial relevance The present study adds a possibility for the purification of carnosic acid from rosemary by using SCCO 2 antisolvent fractionation. Since the starting material employed (oleoresin) is a fluid phase, the process might be carried out in a continuous or semi-continuous way instead of discontinuous as it should be done if the starting material were a solid (leaves). This feature makes the procedure very promising toward its application at the industrial scale.
Aris Espejo - One of the best experts on this subject based on the ideXlab platform.
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operating condition diagnosis based on hmm with adaptive transition probabilities in presence of missing observations
Aiche Journal, 2015Co-Authors: Nima Sammaknejad, Fangwei Xu, Alireza Fatehi, Weili Xiong, Biao Huang, Aris EspejoAbstract:A new approach for modeling and monitoring of the multivariate processes in presence of faulty and missing observations is introduced. It is assumed that operating modes of the process can transit to each other following a Markov chain model. Transition probabilities of the Markov chain are time varying as a function of the scheduling variable. Therefore, the transition probabilities will be able to vary adaptively according to different operating modes. In order to handle the problem of missing observations and unknown operating regimes, the expectation maximization algorithm is used to estimate the parameters. The proposed method is tested on two simulations and one industrial case studies. The industrial case study is the abnormal operating condition diagnosis in the primary Separation Vessel of oil-sand processes. In comparison to the conventional methods, the proposed method shows superior performance in detection of different operating conditions of the process. © 2014 American Institute of Chemical Engineers AIChE J, 61: 477–493, 2015
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Extended abstract: Primary Separation Vessel interface control
2011 International Symposium on Advanced Control of Industrial Processes (ADCONIP), 2011Co-Authors: Bo Li, Fangwei Xu, Aris EspejoAbstract:The Primary Separation Vessel (PSV) plays a key role in oil sands extraction process. Controlling the interface between the froth and middlings at an optimal level provides significant economical and environmental benefits. Traditional level transmitters are not sufficient enough to provide consistent interface level information due to slurry quality changes from time to time. Two novel measuring approaches are discussed in this paper, which have been applied at PSV interface level control in Syncrude Canada Limited. One is based on image signals captured from a camera installed on the PSV sight glass; the other one is based on density readings along the PSV depth provided by a density profiler installed inside the Vessel. Application results show both approaches perform outstandingly in detecting the interface, and are promising to improve the performance of PSV interface level control.
Biao Huang - One of the best experts on this subject based on the ideXlab platform.
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sensor fusion and computer vision integrated system for primary Separation Vessel interface level estimation
IFAC-PapersOnLine, 2021Co-Authors: Jingyi Wang, Yousef Alipouri, Biao HuangAbstract:Abstract In oil sands industry, primary Separation Vessel (PSV) is a critical component to recover bitumen from oil sands slurry. Accurate interface level estimation between froth and middlings layers ensures economical and environmental benefits of bitumen recovery. Nuclear density profiler, differential pressure (DP) cell, and image processing based computer vision system are usually used to estimate the interface level. The computer vision system, which uses a camera to capture sight glass vision frames, is considered to be the most accurate. Although the accuracy of computer vision system is high in normal operational conditions, its qualities are influenced by abnormalities, such as sight glass vision blocking, stains, and level switching between sight glasses. A sensor fusion approach, which recursively updates fusion parameters according to accurate computer vision results whenever they are reliable, is proposed. The fused results can then be used to provide reliable interface level estimation under abnormal scenarios. The sensor fusion algorithm is further integrated with computer vision system to improve froth-middlings interface level estimation accuracy and robustness. Industrial environment simulations and factory accepted test (FAT) demonstrate the advantages and effectiveness of the sensor fusion and computer vision integrated system, which is applied in the industry.
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Kalman Filter-Based Convolutional Neural Network for Robust Tracking of Froth-Middling Interface in a Primary Separation Vessel in Presence of Occlusions
IEEE Transactions on Instrumentation and Measurement, 2021Co-Authors: Faraz Amjad, Santhosh Kumar Varanasi, Biao HuangAbstract:Bitumen in the oil sands industry is separated from sand using a water-based gravity Separation process in a primary Separation Vessel (PSV). The interface between the froth and the middlings layer is an important parameter to control for optimal operation of the PSV unit. In this paper, a method using computer vision based on convolutional neural networks (CNNs) and Kalman filter (KF) is designed for the detection of the interface in PSV, with the CNN estimating both the interface level and the image quality. The proposed method consists of two parts: an offline and an online stage, wherein the parameters of CNN and KF are trained in the offline stage using the available data. The algorithm is made robust to any new type of occlusions, not present in the training dataset, in the online stage. Experimental results demonstrate that the proposed method is accurate and robust to different abnormalities in the process.
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operating condition diagnosis based on hmm with adaptive transition probabilities in presence of missing observations
Aiche Journal, 2015Co-Authors: Nima Sammaknejad, Fangwei Xu, Alireza Fatehi, Weili Xiong, Biao Huang, Aris EspejoAbstract:A new approach for modeling and monitoring of the multivariate processes in presence of faulty and missing observations is introduced. It is assumed that operating modes of the process can transit to each other following a Markov chain model. Transition probabilities of the Markov chain are time varying as a function of the scheduling variable. Therefore, the transition probabilities will be able to vary adaptively according to different operating modes. In order to handle the problem of missing observations and unknown operating regimes, the expectation maximization algorithm is used to estimate the parameters. The proposed method is tested on two simulations and one industrial case studies. The industrial case study is the abnormal operating condition diagnosis in the primary Separation Vessel of oil-sand processes. In comparison to the conventional methods, the proposed method shows superior performance in detection of different operating conditions of the process. © 2014 American Institute of Chemical Engineers AIChE J, 61: 477–493, 2015
